An R API Client for Valve's Dota2. RDota2 can be easily used to connect to the Steam API and retrieve data for Valve's popular video game Dota2. You can find out more about Dota2 at <http://store.steampowered.com/app/570/>.

Calculates the Kelly criterion (Kelly, J.L. (1956) <doi:10.1002/j.1538-7305.1956.tb03809.x>) for bets given quoted prices, model predictions and commissions. Additionally it contains helper functions to calculate the probabilities for wins and draws in multi-leg games.

This is a package for identification of metabolites using high precision mass spectrometry. MS peaks are used to derive a ranked list of sum formulae, alternatively for a given sum formula the theoretical isotope distribution can be calculated to search in MS peak lists.

Set of utilities to facilitate the reproduction of analysis in R. It allow to make_structure(), clean_structure(), and run and log programs in a predefined order to allow secondary files, analysis and reports be constructed in an ordered and reproducible form.

The aim of the report package is to bridge the gap between Râ s output and the formatted results contained in your manuscript. This package converts statistical models and data frames into textual reports suited for publication, ensuring standardization and quality in results reporting.

Providing wrapper functions to implement Bayesian analysis in JAGS. Some major features include monitoring convergence of a MCMC model using Rubin and Gelman Rhat statistics, automatically running a MCMC model till it converges, and implementing parallel processing of a MCMC model for multiple chains.

This package provides functions for connecting to and interfacing with an Arduino or similar device. Functionality includes uploading of sketches, setting and reading digital and analog pins, and rudimentary servo control. This project is not affiliated with the Arduino company, <https://www.arduino.cc/>.

This package provides very fast read and write access to images stored in the NIfTI-1 and ANALYZE-7.5 formats, with seamless synchronisation between compiled C and interpreted R code. It also provides a C/C++ API that can be used by other packages.

This package arranges data by a set of methods. It uses rearrangers to reorder data points and mutators to change their values. From basic utilities, to centering the greatest value, to swirling in 3-dimensional space, rearrr enables creativity when plotting and experimenting with data.

This package uses both ridge and lasso penalties (and extensions) to penalize specific parameters in structural equation models. The package offers additional cost functions, cross validation, and other extensions beyond traditional structural equation models. It also contains a function to perform exploratory mediation (XMed).

This package provides infrastructure to accurately measure and compare the execution time of R expressions.

Fits a pseudo Cox proprotional hazards model when survival times are missing for control groups.

Nonparametric change point estimation for survival data based on p-values of exact binomial tests.

Compute degree days from daily min and max temperatures for modeling plant and insect development.

This package provides methods for calculating gradient surface metrics for continuous analysis of landscape features.

Geometric objects defined in geozoo can be simulated or displayed in the R package tourr'.

Efficient algorithms for fitting regularization paths for linear or logistic regression models penalized by LEP.

The geom_rain() function adds different geoms together using ggplot2 to create raincloud plots.

Display hexagonally binned scatterplots for multi-class data, using coloured triangles to show class proportions.

This package provides a bunch of functions to deal with circular data under order restrictions.

Some simple objects and functions to do statistics using linear models and a Bayesian framework.

Exploratory model analysis with <http://ggobi.org>. Fit and graphical explore ensembles of linear models.

This package provides a set of tools to install, manage and run several Pandoc versions.

Tailoring the optimal biomarker(s) for disease screening or diagnosis based on subjects individual characteristics.